Course Outline

Introduction to Legal AI and Fine-Tuning for Government

  • Overview of legal technology and its evolution in the public sector
  • Applications of Natural Language Processing (NLP) in law: contracts, case law, and compliance
  • Benefits and limitations of using pre-trained models in legal domains for government

Preparing Legal Data for Fine-Tuning for Government

  • Types of legal documents: contracts, terms, case law, and statutes
  • Text cleaning, segmentation, and clause extraction techniques
  • Annotating legal data for supervised learning in government contexts

Fine-Tuning NLP Models for Legal Tasks for Government

  • Choosing a pre-trained model: BERT, LegalBERT, RoBERTa, etc., tailored for government use
  • Setting up a fine-tuning pipeline with Hugging Face for government applications
  • Training on legal classification and extraction tasks relevant to public sector operations

Contract Review Automation for Government

  • Detecting clause types and obligations in government contracts
  • Highlighting risk terms and compliance issues specific to government regulations
  • Summarizing long contracts for quick review by government officials

Legal Research Assistance with AI for Government

  • Information retrieval and ranking for case law in the public sector
  • Question answering on statutes and regulations applicable to government operations
  • Building a legal document chatbot or assistant for government use

Evaluation and Interpretability for Government

  • Metrics: F1, precision, recall, accuracy in the context of government legal tasks
  • Model explainability in high-stakes legal contexts for government
  • Tools for clause-level confidence scoring and auditing in government applications

Deployment and Integration for Government

  • Embedding models in legal research platforms or review tools used by government agencies
  • APIs and interface considerations for law firm use in the public sector
  • Maintaining privacy, version control, and update workflows in government systems

Summary and Next Steps for Government

Requirements

  • An understanding of natural language processing fundamentals
  • Experience with Python and machine learning libraries, such as Hugging Face Transformers
  • Familiarity with legal texts and basic legal document structures

Audience

  • Legal tech engineers for government and private sectors
  • AI developers working in law firms and governmental agencies
  • Machine learning professionals focused on processing legal data for government and other organizations
 14 Hours

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